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Showing papers by "Goodarz Danaei published in 2011"


Journal ArticleDOI
TL;DR: In this paper, the authors estimated trends and their uncertainties of mean BMI for adults 20 years and older in 199 countries and territories, and used a Bayesian hierarchical model to estimate mean BMI by age, country, and year.

3,664 citations


Journal ArticleDOI
TL;DR: Glycaemia and diabetes are rising globally, driven both by population growth and ageing and by increasing age-specific prevalences, and effective preventive interventions are needed, and health systems should prepare to detect and manage diabetes and its sequelae.

3,410 citations



Journal ArticleDOI
TL;DR: In this paper, the authors estimated trends and their uncertainties in mean serum total cholesterol for adults 25 years and older in 199 countries and territories and used a Bayesian hierarchical model to estimate mean total cholesterol by age, country, and year.

510 citations


Journal ArticleDOI
TL;DR: In this article, the effects of smoking and high systolic blood pressure (SBP), fasting plasma glucose (FPG), total cholesterol (TC), and high body mass index (BMI) on mortality and life expectancy, nationally and sub-national, using representative data and comparable methods.
Abstract: Background Mortality from cardiovascular and other chronic diseases has increased in Iran. Our aim was to estimate the effects of smoking and high systolic blood pressure (SBP), fasting plasma glucose (FPG), total cholesterol (TC), and high body mass index (BMI) on mortality and life expectancy, nationally and subnationally, using representative data and comparable methods.

90 citations



Journal ArticleDOI
TL;DR: There was a large variation in levels and trends of metabolic risk factors and population and individual-level interventions should be formulated to continue beneficial trends and reverse the hazardous ones.
Abstract: Introduction Information on levels and trends of risk factors is essential for policy making. However, very few comprehensive and consistent global estimates are available. We collected a global database of population level summaries of systolic blood pressure (SBP), body mass index (BMI), serum total cholesterol (TC) and fasting plasma glucose (FPG) and estimated levels and trends since 1980. Methods For each risk factor, we searched for published articles, analysed health surveys, and included unpublished reports. We excluded non-random samples or self-reported measurements. We used a Bayesian hierarchical model with a non-linear age component and a smoothing time trend for each sex separately. Results BMI had the most available data (960 country-years), followed by SBP (786), FPG (346) and TC (321). SBP declined in high-income regions by 2.1 to 3.9 mm Hg/decade, remained the same in East and South Asia and increased in Oceania and Eastern sub-Saharan Africa. TC declined in high-income regions by 0.2 mmol/l/decade and increased in East and South-East Asia and Pacific by 0.08–0.09 mmol/l/decade. BMI increased in virtually all regions with a global slope of 0.4 kg/m 2 /decade in men and 0.5 in women. FPG levels rose by 0.07–0.08 mmol/l/decade globally. FPG rose in all regions except for East and South-East Asia and Central and Eastern Europe. Conclusion There was a large variation in levels and trends of metabolic risk factors. Population and individual-level interventions should be formulated to continue beneficial trends and reverse the hazardous ones. National health surveys are essential in monitoring such interventions.

3 citations


Journal ArticleDOI
TL;DR: New methods will allow, for the first time, comparable and quantitative assessment of the global impact of specific dietary factors on chronic disease mortality, and not only possible, but imperative for priority setting and policy making.
Abstract: Introduction Little quantitative data are available on the global impact of diet on chronic diseases, including cardiovascular diseases, type 2 diabetes and cancer. Methods We used a comparative risk assessment framework to develop systematic and comparable methods to establish for selected dietary risk factors the effect sizes of probable or convincing causal diet-disease relationships; the alternative minimum risk exposure distribution; and the exposure distribution. These inputs, together with disease-specific mortality rates, allow computation of the numbers of events attributable to each dietary factor globally and in 21 world regions. Results Using WHO evidence criteria for convincing / probable causal effects, we identified potential causal diet-disease relationships. Effect sizes and ranges of uncertainty were derived from published or de-novo systematic reviews and meta-analyses of trials or high-quality observational studies. Alternative minimum-risk distributions were identified based on amounts corresponding to lowest disease rates in existing populations. Optimal and alternative definitions for each diet exposure were established based on the data used to quantify the harmful or protective effects. We developed methods for identifying and obtaining comparable data from nationally representative diet surveys throughout the world (see separately submitted Abstract). Multi-level hierarchical models will be developed and will be presented to handle the diversity of diet metrics, units of measure, energy-adjustment techniques, and to impute missing data. Conclusions These new methods will allow, for the first time, comparable and quantitative assessment of the global impact of specific dietary factors on chronic disease mortality. Such global assessment is not only possible, but imperative for priority setting and policy making.

1 citations